Implementation of Augmented Reality, TTS, and Midpoint Algorithm in Supporting People with Color Vision Deficiency

Abstract

Color blindness or color vision deficiency (CVD) is a physical disorder causing patients hardly to recognize or to distinguish certain colors. It might make some tasks on daily basis more challenging particularly in dealing with certain jobs requiring high visual acuity. In this research, augmented reality (AR), text-to-speech (TTS) system, and midpoint algorithm as color pixel detector were implemented in developing an application to support people with CVD. The application provides a convenient way to recognize colors using an Android smartphone camera. Four experiments were designed to measure how the application works; a drinking bottle was used as the first experiment object, the second and third experiments were designed to perceive the result of the same object but different contrasts, the fourth is a testing on printed colors. This research has figured out that the algorithm works well to recognize the color pixel and so does the TTS system because the average result of the detection rate was 85% with normal lighting level and 80% of response time of TTS system.